Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow

Automated segmentation templates can save clinicians time compared to de novo segmentation but may still take substantial time to review and correct. It has not been thoroughly investigated which automated segmentation-corrected segmentation similarity metrics best predict clinician correction time....

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Detalles Bibliográficos
Autores principales: Kiser, Kendall J., Barman, Arko, Stieb, Sonja, Fuller, Clifton D., Giancardo, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329111/
https://www.ncbi.nlm.nih.gov/pubmed/34027588
http://dx.doi.org/10.1007/s10278-021-00460-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329111/
https://www.ncbi.nlm.nih.gov/pubmed/34027588
http://dx.doi.org/10.1007/s10278-021-00460-3

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